期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：1
页码：10180-10183
出版社：IJECS
摘要：The task of web mining is to classify documents automatically many algorithms have been developed to deal with automatic textclassification The most common techniques used for this purpose include Apriori algorithm. In this survey, the various models using Apriorialgorithm are explained to classify the text of documents, saving time and increasing accuracy of the web searching. It increases the dataaccessibility on the web giving the results faster. All the methods explained in this survey are executed to get the result accuracy for retrievingthe web pages faster and getting the documents classified easily based on the probability calculated. The easiest algorithm used forclassification of documents is Apriori algorithm used. The result of the survey of various methods used for classification shows that thesearch results are classified according to the classes they belong to. It is done on the basis of content matching of documents
关键词：Apriori algorithm; Naïve Bayes classifier; Association rule; Genetic algorithm
